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Joint processing of image plane and wavefront sensor information to measure large aberrations in optical systems

机译:联合处理像面和波前传感器信息,以测量光学系统中的大像差

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Abstract: Hartmann sensors and shearing interferometers have dynamic range limitations which bound the strength of the aberration which can be sensed. The largest aberration which can be reliably sensed in a Hartmann sensor must have a local gradient small enough so that the spot formed by each lenslet is confined to the area behind the lenslet - if the local gradient is larger, spots appear under nearby lenslets, causing a form of cross talk between the wave front sensor channels. Similarly, the effectiveness of shearing interferometer-based aberration sensing can be reduced by strong phase gradients which cause unresolved 2$pi phase jumps in the measured fringe pattern. In this paper we describe a wave front reconstruction algorithm which processes the whole image measured by either a Hartmann sensor or a shearing interferometer, and a conventional image formed using the incident aberration. We show that this algorithm can accurately estimate aberrations for cases where the aberration is strong enough to cause many of the images formed by individual Hartmann sensor lenslets to fall outside the local region of the Hartmann sensor detector plane defined by the edges of a lenslet. !11
机译:摘要:哈特曼传感器和剪切干涉仪具有动态范围限制,限制了可以检测到的像差强度。可以在Hartmann传感器中可靠地检测到的最大像差必须具有足够小的局部梯度,以使每个小透镜形成的光斑限制在小透镜后面的区域内-如果局部梯度较大,则在附近的小透镜下方会出现光斑,从而导致波前传感器通道之间的串扰形式。类似地,强相位梯度会降低基于剪切干涉仪的像差感测的效率,因为强相位梯度会导致在所测量条纹图中出现未解决的2πpi相跳。在本文中,我们描述了一种波前重建算法,该算法处理通过Hartmann传感器或剪切干涉仪测量的整个图像以及使用入射像差形成的常规图像。我们显示,对于像差足够强到足以引起由单个Hartmann传感器小透镜形成的许多图像落在由小透镜边缘定义的Hartmann传感器检测器平面的局部区域之外的情况,该算法可以准确估计像差。 !11

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